Agri-Food Innovation
Automated Itemisation System (AIS) for Food Checkout Counter
An Artificial Intelligence (AI) model trained to identify the side dishes on a single plate of Economic Mix Veg Rice. It also calculates the prices of side dishes to streamline the operations.
Technology overview
Economic rice stalls are highly popular in Singapore. Cashiers at these stalls typically inspect the dishes visually and mentally calculate the total price of each plate. This process is prone to errors, often resulting in inconsistent charges for customers. Existing technology can identify specific dishes or cuisines, but cannot identify the mix of dishes on a single plate. An Artificial Intelligence (AI) model has been trained to identify and calculate the prices of dishes, streamlining operations.
Technology features
Real-time food detection using an innovative AI Model.
Can be integrated with external systems such as cash registers, enabling further automation.
The inference model can be deployed to an edge device, such as Nvidia Jetson Nano.
Data can be transferred to another system via a JSON format.
Potential applications
Suitable for coffee shops, food court operators, and chain restaurants seeking an efficient automated experience across all branches.
Relevant for food and restaurant operators, as well as system integrators.
Applicable in the automated food industry.
Valuable in the health and nutrition technology industry, such as nutrition tracking apps.
Benefits
Efficient and eliminates human errors.
Provides a seamless, hassle-free customer experience.
Enables further business automation.
Easily manages price fluctuations.
Data can be exported for further analysis.
Commercialisation
The technology is available for licensing and technology transfer.
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